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About the Role As the founding member of our Threat Intelligence, Investigations and Data function in our AI Safety team, you will be at the forefront of our efforts to understand, detect and enforce against the nexus of complex adversarial threats and some of the most powerful tools in AI technology. That's why we offer early employees stock options as part of their compensation package. We currently have offices in NYC, London and Warsaw. You'll work on the state of the art surrounded by people with extraordinary skills and positive attitudes.

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In this role, you will provide support for the operations and maintenance of Data Centre Critical Facilities alongside a team of Technicians on a fixed-term contract. Monitor Building Monitoring system for all site M&E General site maintenance - tidying and maintain of site Project involvement when required General knowledge of Datacentre power, UPS, Generators, CRAC, Breakers, Fuel Working with third party M&E vendors - providing site escort duties and over-see work. Electrical or Mechanical qualification/experience is desired. We are looking for professionals with diverse competencies, personalities and strengths who want to live our shared value of teamwork and performance.

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The research groups in RAND Europe boast a diverse portfolio, addressing key public policy challenges such as education and child welfare, health and wellbeing, geopolitical competition and national security, environment and climate change, technological innovation and disruption, among many others. Coordinate complex projects, mentor a team of talented data scientists and researchers, and drive the impact of our work through strategic communication and outreach. A track record of collaborative research and team motivation, with a focus on skills and career development. Experience applying data science methods and tools to support policy research and/or social sciences research Eligibility for UK Security Clearance (SC) or Developed Vetting (DV). Team-oriented with a commitment to rigorous research and public service. ) Benefits Please see our careers page for associate benefits for each location How to Apply If you believe you are suited to the above role, please submit an application comprising of a CV and covering letter.

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In this role you will support all Canada Operations teams with the development, implementation, and maintenance of analytics solutions ranging from descriptive and diagnostic to predictive. We are dedicated to building a workforce that reflects the diversity of the communities in which we live, and to creating an environment where every employee has the opportunity to reach their potential.

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This position will involve close collaboration with Client Support Services, Professional Services, Data Feeds and external compliance stakeholders to ensure that data integrity and regulatory compliance are maintained throughout the migration process. Conduct data validation and quality checks, identifying and addressing issues such as duplicates, missing data, or inconsistencies before and after migration. Familiarity with cloud data storage solutions (AWS/Azure) and data integration methods (APIs/Web Services).

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About the role Join us on a 12-month industrial placement to work with and learn from some of the best people in the energy industry!   You must be in your penultimate year at university   Ideally, you'll have a valid full UK Driving Licence. The knowledge and understanding of how we keep the lights on that can be understood only within the National Energy System Operator have been the foundations for the careers of many of our company leaders.

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Working across a vast array of data sets, channels and stakeholders they will work hand in hand with Product owners, Engineers and client-facing Analysts to develop and optimise the solution to support Nectar360's significant commerical growth. You should role model what great business behaviour looks like to the more junior members of the team, keeping an eye on the commercial impact of whatever we do whilst thinking how to frame and communicate this to the wider business, and bring stakeholders on the journey with them. Excellent communicator with the ability to explain complex analytical techniques to non­technical audiences in a clear and positive manner and the implications of the results. We invest in training, development and multiple initiatives to ensure our teams feel enabled to offer the best shopping experience to our customers and that Sainsbury's is truly a 'Great Place to Work'.

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This is a unique opportunity for an experienced analyst who enjoys the fast-paced environment of a growing company and has a passion to contribute to helping the Bumble Inc. PhD and Masters welcome 3+ years of experience in data science and analytics preferably in Product and CRM domains with expertise in experimentation, AB testing and causal inference Proven commercial experience serving as a thought partner to both technical and non-technical stakeholders Preference for experience working in similar dating/social/gaming tech product industries or else app-based product, being able to elaborate on the business impact you have driven in your previous experience You have experience working with complex data infrastructures and partnering with data engineering to help facilitate ingestion, warehousing, and optimisation of databases Strong experience with SQL and Python, Looker or a similar visualisation platform. Deep commercial understanding and a proven ability of creating impact through the power of customer-led insights Comfort in operating in ambiguous and complex problem spaces, helping teams you work with to define the questions that help support the business, and confidence in pushing back and saying no when needed.

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Summary Press space or enter keys to toggle section visibility Location London, Reading Job Type Full Time Posted Date 08-Oct-2024 Ref # 62550 You will be building, developing, and maintaining resilient data pipelines to support the extraction, transformation, and loading (ETL) of diverse data sets. High level of expertise with GCP platform and services within a data engineering context. Ability to work in a fast-paced and collaborative environment. Next steps Once you've applied the next steps of the process, if successful, are likely to include two interviews. If you've got any burning questions or require reasonable adjustments to support you through the recruitment process, please drop the recruiter a note.

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